Evidence map›Paper›PMID 34906453›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2022

Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants.

Lucy Loong, Cankut Cubuk, Subin Choi, Sophie Allen, Beth Torr, Alice Garrett, Chey Loveday, Miranda Durkie, Alison Callaway, George J Burghel and 11 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Lucy LoongDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Cankut CubukDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Subin ChoiDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Sophie AllenDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Beth TorrDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Alice GarrettDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Chey LovedayDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
Miranda DurkieSheffield Diagnostic Genetics Service, NHS North East and Yorkshire Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, United Kingdom.
Alison CallawayWessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, United Kingdom; Human Genetics and Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
George J BurghelManchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
James DrummondEast Genomic Laboratory Hub, Cambridge University Hospitals Genomic Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Rachel RobinsonNorth East and Yorkshire Genomic Laboratory Hub, The Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Ian R BerryBristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, North Bristol NHS Trust, Bristol, United Kingdom.
Andrew WallaceManchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Diana M EcclesCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Marc TischkowitzDepartment of Medical Genetics, NIHR Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom.
Sian EllardDepartment of Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom.
James S WareNational Heart and Lung Institute, Faculty of Medicine, and MRC London Institute of Medical Sciences, Imperial College London, London, United Kingdom; NIHR Royal Brompton Cardiovascular Research Centre, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom.
Helen HansonDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom; Department of Clinical Genetics, St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Clare TurnbullDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom; Cancer Genetics Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom. Electronic address: clare.turnbull@icr.ac.uk.
CanVIG-UK

Funding

British Heart Foundation RE/18/4/34215Cancer Research UK 27223Cancer Research UK C61296/A27223Medical Research Council MC_UP_1102/20Wellcome TrustWellcome Trust 107469/Z/15/Z
6 · The paper itself

Abstract

purposeConditions and thresholds applied for evidence weighting of within-codon concordance (PM5) for pathogenicity vary widely between laboratories and expert groups. Because of the sparseness of available clinical classifications, there is little evidence for variation in practice.

methodsWe used as a truthset 7541 dichotomous functional classifications of BRCA1 and MSH2, spanning 311 codons of BRCA1 and 918 codons of MSH2, generated from large-scale functional assays that have been shown to correlate excellently with clinical classifications. We assessed PM5 at 5 stringencies with incorporation of 8 in silico tools. For each analysis, we quantified a positive likelihood ratio (pLR, true positive rate/false positive rate), the predictive value of PM5-lookup in ClinVar compared with the functional truthset.

resultspLR was 16.3 (10.6-24.9) for variants for which there was exactly 1 additional colocated deleterious variant on ClinVar, and the variant under examination was equally or more damaging when analyzed using BLOSUM62. pLR was 71.5 (37.8-135.3) for variants for which there were 2 or more colocated deleterious ClinVar variants, and the variant under examination was equally or more damaging than at least 1 colocated variant when analyzed using BLOSUM62.

conclusionThese analyses support the graded use of PM5, with potential to use it at higher evidence weighting where more stringent criteria are met.

Indexed as

Genetic VariationMutation, MissenseBRCA1 ProteinCodonGenetic Predisposition to DiseaseHumansMutS Homolog 2 ProteinBRCA1 ProteinBRCA1 protein, humanCodonMSH2 protein, humanMutS Homolog 2 ProteinACMGClassificationCodonPM5Variant

Identifiers

PMID34906453
PMCPMC8896276

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.